Gender: Male 
Age: 55-60
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Homemaker
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to classical music;Exercise;Use social media 
Devices used daily: Smartphone;Laptop;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Claude;GitHub Copilot;Google Bard;Google Gemini;Poe;Perplexity 
LLM use cases: Generic chatbot conversation;Answering questions about general knowledge 
Contexts of LLM use: Technical;Work;Learning;Personal 
Prompt 1: Please tell us up to 3 reasons why you support Harris as President.
Prompt 2: What is the total volume of document authentication transactions performed by your company annually? (i.e., including onboarding, transactions, account management, etc.) on average with a company size of 4500?
Prompt 3: What percentage (%) of your company's annual document authentication transactions require manual verification at any point in the process?
Prompt 4: What is the total spend on document authentication transactions performed by your company annually across all use cases (i.e., including onboarding, transactions, account management, etc.) in USD? on Average with a company size of 4500?
Prompt 5: Please explain why you rated ID.me 10 out of 10 on how likely you are to recommend them to a friend or colleague with similar needs for document authentication services.
Prompt 6: can you please write be a letter that I can use for applying for a beta tester position in the first person?
Prompt 7: what are all of the names that Uber uses to describe the services that they offer?
Prompt 8: As far as you know, what services does Lyft offer access to?
Prompt 9: What would make an embedded finance vendor’s service unique and set them apart from the competition? 
Prompt 10: Can you elaborate why Stripe is a company you trust?
Comments: I just want to say that I so enjoyed doing this survey. It was a lot of fun!1 I so hope I get to do more for you. Thank you so much again!!